{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e4bb7829-2adc-4fb9-8137-7bd5fa6cb7e8",
   "metadata": {},
   "source": [
    "# <span style=\"color: #9333EA;\">十一  平滑折线图</span>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6cc99ac-a40a-44ca-a5c0-8260e9c46675",
   "metadata": {},
   "source": [
    "### 筛选订单文件中衬衫一年的订单数量来做平滑折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9776f92d-52d8-4838-95c4-cb1144a16d12",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2024年10月-2025年10月衬衫订单月度销量统计：\n",
      "==================================================\n",
      "     年月  订单数量  总销量\n",
      "2024-10     1    2\n",
      "2024-11     5   11\n",
      "2024-12    14   44\n",
      "2025-01    10   26\n",
      "2025-02    14   40\n",
      "2025-03    10   26\n",
      "2025-04    12   41\n",
      "2025-05    12   34\n",
      "2025-06    13   38\n",
      "2025-07    12   40\n",
      "2025-08    16   44\n",
      "2025-09     6   20\n",
      "2025-10     4   14\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime\n",
    "import re\n",
    "data=pd.read_excel(\"ERP订单数据.xlsx\")\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "# 筛选衬衫订单（商品名称包含\"衬衫\"或\"衬\"）\n",
    "shirt_orders = df[df['商品名称'].str.contains('衬衫|衬', na=False)]\n",
    "\n",
    "# 转换下单时间为日期格式\n",
    "shirt_orders['下单时间'] = pd.to_datetime(shirt_orders['下单时间'])\n",
    "\n",
    "# 筛选2024年10月至2025年10月的数据\n",
    "start_date = '2024-10-01'\n",
    "end_date = '2025-10-31'\n",
    "mask = (shirt_orders['下单时间'] >= start_date) & (shirt_orders['下单时间'] <= end_date)\n",
    "filtered_orders = shirt_orders.loc[mask]\n",
    "\n",
    "# 提取年月信息\n",
    "filtered_orders['年月'] = filtered_orders['下单时间'].dt.to_period('M')\n",
    "\n",
    "# 按年月分组统计销量\n",
    "monthly_sales = filtered_orders.groupby('年月')['商品数量'].sum().reset_index()\n",
    "monthly_sales.columns = ['年月', '总销量']\n",
    "\n",
    "# 确保包含所有月份（即使销量为0）\n",
    "all_months = pd.period_range(start='2024-10', end='2025-10', freq='M')\n",
    "monthly_sales_full = monthly_sales.set_index('年月').reindex(all_months, fill_value=0).reset_index()\n",
    "monthly_sales_full.columns = ['年月', '总销量']\n",
    "\n",
    "# 按年月排序\n",
    "monthly_sales_full = monthly_sales_full.sort_values('年月').reset_index(drop=True)\n",
    "\n",
    "# 添加订单数量统计\n",
    "monthly_order_count = filtered_orders.groupby('年月').size().reset_index(name='订单数量')\n",
    "monthly_sales_full = monthly_sales_full.merge(monthly_order_count, on='年月', how='left').fillna(0)\n",
    "monthly_sales_full['订单数量'] = monthly_sales_full['订单数量'].astype(int)\n",
    "\n",
    "# 重新排列列顺序\n",
    "monthly_sales_full = monthly_sales_full[['年月', '订单数量', '总销量']]\n",
    "\n",
    "print(\"2024年10月-2025年10月衬衫订单月度销量统计：\")\n",
    "print(\"=\" * 50)\n",
    "print(monthly_sales_full.to_string(index=False))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "26b09246-f8a4-482a-9ef4-b66fb3dfc9e5",
   "metadata": {},
   "source": [
    "### 图表可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "56478c28-2a1a-424d-8af8-7b9b6a04aa03",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# 创建图表\n",
    "plt.figure(figsize=(12, 8))\n",
    "\n",
    "# 准备数据用于绘图\n",
    "monthly_sales_full['年月_str'] = monthly_sales_full['年月'].astype(str)\n",
    "months = monthly_sales_full['年月_str'].tolist()\n",
    "sales = monthly_sales_full['总销量'].tolist()\n",
    "\n",
    "# 创建平滑曲线\n",
    "x_numeric = np.arange(len(months))\n",
    "x_smooth = np.linspace(x_numeric.min(), x_numeric.max(), 300)\n",
    "\n",
    "# 使用样条插值创建平滑曲线\n",
    "if len(months) > 3:  # 确保有足够的数据点进行插值\n",
    "    spl = make_interp_spline(x_numeric, sales, k=3)\n",
    "    y_smooth = spl(x_smooth)\n",
    "else:\n",
    "    x_smooth = x_numeric\n",
    "    y_smooth = sales\n",
    "\n",
    "# 绘制平滑折线图\n",
    "plt.plot(x_smooth, y_smooth, color='#1f77b4', linewidth=2.5, label='衬衫销量')\n",
    "\n",
    "# 标记原始数据点\n",
    "plt.scatter(x_numeric, sales, color='#1f77b4', s=50, zorder=5)\n",
    "\n",
    "# 设置图表标题和标签\n",
    "plt.title('衬衫品类月度销量走势', fontsize=16, fontweight='bold', pad=20)\n",
    "plt.ylabel('销量', fontsize=12)\n",
    "\n",
    "# 设置x轴刻度\n",
    "plt.xticks(x_numeric, [m[5:7] + '月' for m in months], fontsize=10)\n",
    "\n",
    "# 设置y轴范围从0开始\n",
    "plt.ylim(bottom=0)\n",
    "\n",
    "# 添加网格线\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "\n",
    "\n",
    "# 添加数据标签\n",
    "for i, (x, y) in enumerate(zip(x_numeric, sales)):\n",
    "    if y > 0:  # 只为非零值添加标签\n",
    "        plt.annotate(f'{int(y)}', \n",
    "                    (x, y), \n",
    "                    textcoords=\"offset points\", \n",
    "                    xytext=(0,10), \n",
    "                    ha='center', \n",
    "                    fontsize=9,\n",
    "                    color='#1f77b4')\n",
    "\n",
    "# 调整布局\n",
    "plt.tight_layout()\n",
    "\n",
    "# 显示图表\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6374ff5-4a2e-4940-ad09-6aba16cb08f2",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "18765bdd-7566-4aed-bae9-90c073f9f84c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
